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Apr, 2020
分布式学习下线性回归的泛化误差
Generalization Error for Linear Regression under Distributed Learning
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Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
TL;DR
本研究针对分布式学习进行了线性回归分析，发现当节点估计未知数接近观测数时，与集中化解决方案相比，分布式解决方案的泛化误差大幅增加。
Abstract
distributed learning
facilitates the scaling-up of data processing by distributing the computational burden over several nodes. Despite the vast interest in
distributed learning
,
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